A Systematic Review of Human Activity Recognition Based On Mobile Devices: Overview, Progress and Trends
Due to the ever-growing powers in sensing, computing, communicating and storing, mobile
devices (eg, smartphone, smartwatch, smart glasses) become ubiquitous and an …
devices (eg, smartphone, smartwatch, smart glasses) become ubiquitous and an …
TS2ACT: Few-Shot Human Activity Sensing with Cross-Modal Co-Learning
Human Activity Recognition (HAR) based on embedded sensor data has become a popular
research topic in ubiquitous computing, which has a wide range of practical applications in …
research topic in ubiquitous computing, which has a wide range of practical applications in …
[HTML][HTML] Enhancing human activity recognition using features reduction in iot edge and azure cloud
Abstract The Internet of Things (IoT), cloud computing, and machine learning opened an
opportunity for new smart systems. These technologies have triggered huge traffic and delay …
opportunity for new smart systems. These technologies have triggered huge traffic and delay …
rTsfNet: a DNN model with Multi-head 3D Rotation and Time Series Feature Extraction for IMU-based Human Activity Recognition
Y Enokibori - Proceedings of the ACM on Interactive, Mobile …, 2024 - dl.acm.org
Many deep learning (DL) models have been proposed for the IMU (inertial measurement
unit) based HAR (human activity recognition) domain. However, combinations of manually …
unit) based HAR (human activity recognition) domain. However, combinations of manually …
HARE: Unifying the Human Activity Recognition Engineering Workflow
O Konak, R Van De Water, V Döring, T Fiedler, L Liebe… - Sensors, 2023 - mdpi.com
Sensor-based human activity recognition is becoming ever more prevalent. The increasing
importance of distinguishing human movements, particularly in healthcare, coincides with …
importance of distinguishing human movements, particularly in healthcare, coincides with …
exHAR: An Interface for Helping Non-Experts Develop and Debug Knowledge-based Human Activity Recognition Systems
Human activity recognition (HAR) is crucial for ubiquitous computing systems. While HAR
systems are able to recognize a predefined set of activities established during the …
systems are able to recognize a predefined set of activities established during the …
Weighted voting ensemble of hybrid CNN-LSTM Models for vision-based human activity recognition
S Aggarwal, G Bhola, DK Vishwakarma - Multimedia Tools and …, 2024 - Springer
This research work aims to propose an ensemble model of different pre-trained CNN
networks combined with LSTM to detect a set of routine human activities practiced by the …
networks combined with LSTM to detect a set of routine human activities practiced by the …
Dynamic and Distributed Intelligence over Smart Devices, Internet of Things Edges, and Cloud Computing for Human Activity Recognition Using Wearable Sensors
A wide range of applications, including sports and healthcare, use human activity
recognition (HAR). The Internet of Things (IoT), using cloud systems, offers enormous …
recognition (HAR). The Internet of Things (IoT), using cloud systems, offers enormous …
Recent Trends in Sensor-based Activity Recognition
This seminar introduces recent trends in sensor-based activity recognition technology.
Technology to recognize human activities using sensors has been a hot topic in the field of …
Technology to recognize human activities using sensors has been a hot topic in the field of …
Light Weight Human Activity Recognition using Raspberry PI IoT Edge and Reduced Features from Smartphones
Different applications used cloud computing, machine learning, and the Internet of Things
(IoT). Transferring data from the local network to the cloud for processing causes huge traffic …
(IoT). Transferring data from the local network to the cloud for processing causes huge traffic …